本文關(guān)鍵詞： 磁暴 無幾何相位 電離層延遲 神經(jīng)網(wǎng)絡(luò) 周跳　出處：《中國慣性技術(shù)學(xué)報(bào)》2017年01期 　論文類型：期刊論文

【摘要】：采用偽距相位組合和無幾何相位組合作為周跳探測量,分析了無幾何相位組合的漏探率和誤探率,并給出了該組合的適用條件。針對強(qiáng)電離層條件下誤探率較高的缺點(diǎn),提出了采用RBF(Radial basis function)神經(jīng)網(wǎng)絡(luò)模型對一階電離層延遲變化量進(jìn)行預(yù)測,并根據(jù)預(yù)測殘差判斷周跳是否發(fā)生,采用電離層延遲改正的相位組合周跳估值進(jìn)行周跳修復(fù)。利用電離層活躍期間的北斗三頻觀測數(shù)據(jù)驗(yàn)證所提出的算法,實(shí)驗(yàn)結(jié)果表明:該模型即使在大磁暴發(fā)生期間也能夠準(zhǔn)確地探測出所有周跳并正確修復(fù),不存在不敏感周跳組合,同時(shí)誤探率在0.3%以下。
[Abstract]:Using pseudo-range phase combination and non-geometric phase combination as cycle slip detectives, the leakage rate and false detection rate of geometric phase combination are analyzed, and the applicable conditions of this combination are given. In view of the disadvantages of high error detection rate under strong ionospheric conditions, the pseudo-range phase combination and non-geometric phase combination are used to analyze the leakage rate and false detection rate of the combination. In this paper, RBF(Radial basis function neural network model is used to predict the first order ionospheric delay variation, and the cycle slip is judged according to the predicted residual error. The phase combination cycle slip estimation of ionospheric delay correction is used to repair the cycle slip. The proposed algorithm is verified by using the Beidou three-frequency observation data during the active period of the ionosphere. The experimental results show that the model can accurately detect all cycle slips and correct repair even during the occurrence of large magnetic storms, and there is no insensitive cycle slip combination, and the false detection rate is below 0.3%.
【作者單位】： 中國礦業(yè)大學(xué)國土環(huán)境與災(zāi)害監(jiān)測國家測繪地理信息局重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家重點(diǎn)研發(fā)計(jì)劃資助項(xiàng)目(2016YFC0803103)
【分類號】：P228

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